Automatically Characterizing Large Scale Program Behavior

Automatically Characterizing Large Scale Program Behavior

2002-03-18 | Sherwood, Timothy; Perelman, Erez; Calder, Brad
this technical report, titled "automatically characterizing large scale program behavior," was authored by timothy sherwood, erez calder perelman, and brad calder. published on march 18, 2002, the report is peer-reviewed. the authors present a method for automatically analyzing the behavior of large-scale programs. the report can be accessed through the provided permalink or by contacting brad calder directly. the report is available at the following url: http://www-cse.ucsd.edu/users/calder/papers.html. to obtain a copy, one may send an email or letter to brad calder at the university of california, san diego, located at 9500 gilman drive, la jolla, ca 92093-0114. the contact email is calder@cs.ucsd.edu. the report focuses on the automatic characterization of program behavior, which is essential for understanding and optimizing the performance of large-scale software systems. the authors likely discuss techniques for monitoring, analyzing, and characterizing the behavior of programs, which can help in identifying performance bottlenecks, debugging, and improving software efficiency. the report is part of the technical reports series from the university of california, san diego. the content is relevant to computer science researchers and practitioners working in the field of software analysis and optimization. the report provides insights into the challenges and solutions involved in analyzing large-scale programs, which is a critical area in modern software development. the authors' work contributes to the broader understanding of program behavior analysis and its applications in software engineering.this technical report, titled "automatically characterizing large scale program behavior," was authored by timothy sherwood, erez calder perelman, and brad calder. published on march 18, 2002, the report is peer-reviewed. the authors present a method for automatically analyzing the behavior of large-scale programs. the report can be accessed through the provided permalink or by contacting brad calder directly. the report is available at the following url: http://www-cse.ucsd.edu/users/calder/papers.html. to obtain a copy, one may send an email or letter to brad calder at the university of california, san diego, located at 9500 gilman drive, la jolla, ca 92093-0114. the contact email is calder@cs.ucsd.edu. the report focuses on the automatic characterization of program behavior, which is essential for understanding and optimizing the performance of large-scale software systems. the authors likely discuss techniques for monitoring, analyzing, and characterizing the behavior of programs, which can help in identifying performance bottlenecks, debugging, and improving software efficiency. the report is part of the technical reports series from the university of california, san diego. the content is relevant to computer science researchers and practitioners working in the field of software analysis and optimization. the report provides insights into the challenges and solutions involved in analyzing large-scale programs, which is a critical area in modern software development. the authors' work contributes to the broader understanding of program behavior analysis and its applications in software engineering.
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